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EdSolver Learning
Statistical Analysis and Research using Excel is a blended learning program of theoretical knowledge with its application in Microsoft Excel software. This course is a base to all the analytical studies and research studies. It is focused on more industry relevant examples and situations, where in you learn how you actually need to apply your research and analytical skills at workplace. This can also be considered as a foundation course if you are looking out for higher education in research and analytics.
Read more
Statistical Analysis and Research using Excel is a blended learning program of theoretical knowledge with its application in Microsoft Excel software. This course is a base to all the analytical studies and research studies. It is focused on more industry relevant examples and situations, where in you learn how you actually need to apply your research and analytical skills at workplace. This can also be considered as a foundation course if you are looking out for higher education in research and analytics.
Read more
Statistical Analysis and Research using Excel is a blended learning program of theoretical knowledge with its application in Microsoft Excel software. This course is a base to all the analytical studies and research studies. It is focused on more industry relevant examples and situations, where in you learn how you actually need to apply your research and analytical skills at workplace. This can also be considered as a foundation course if you are looking out for higher education in research and analytics.
From the work perspective, this course is more suitable to jobs for data engineering, data analyst and marketing research jobs.
Register for this course and see more details by visiting:
OpenCourser.com/course/g5ok66/statistical
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Builds a strong foundation for beginners in statistical analysis and research
Teaches skills, knowledge, and tools that are highly relevant to industry
Uses Microsoft Excel software, which is standard in industry
Uses more industry relevant examples and situations
Can be considered as a foundation course for higher education in research and analytics
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Statistical Analysis and Research using Excel with these
activities:
Organize course notes and materials for future reference.
Show steps
Organize your course notes, assignments, and resources for easy access and review during and after the course.
Show steps
-
Create a system for organizing notes and materials.
-
Regularly add to and update your organizational system.
-
Review your organized materials periodically for reinforcement.
Review basic statistical formulas.
Show steps
Refresh your memory on fundamental statistical formulas before starting the course materials.
Show steps
-
Revisit common measures of central tendency.
-
Review probability distributions.
-
Practice applying hypothesis testing.
Complete practice problems from introductory statistics books.
Show steps
Sharpen your statistical analysis skills by practicing with exercises from various textbooks.
Show steps
-
Select textbooks with practice problems relevant to the course material.
-
Work through practice problems regularly.
-
Check your solutions against provided answers or consult with peers or instructors.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join or form a study group with classmates.
Show steps
Enhance your understanding and retention by collaborating with peers in a study group.
Show steps
-
Find classmates who are interested in forming or joining a study group.
-
Establish a regular meeting schedule and format.
-
Take turns presenting concepts, leading discussions, and working on problems together.
Practice Data Analysis Techniques
Show steps
Put your analytical skills to the test by solving various data analysis exercises to solidify your understanding.
Browse courses on
Statistical Analysis
Show steps
-
Identify a dataset
-
Apply statistical techniques to analyze the data
-
Interpret the results and draw conclusions
Participate in online statistical analysis simulations.
Show steps
Engage in interactive simulations to reinforce concepts and build confidence in applying statistical methods.
Show steps
-
Identify online platforms or software that offer statistical simulations.
-
Select simulations aligned with the course topics.
-
Complete simulations multiple times to improve understanding.
Attend an Excel Data Analysis Workshop
Show steps
Gain hands-on experience and expert guidance by attending a workshop tailored to enhancing your Excel data analysis skills.
Browse courses on
Data Analysis Tools
Show steps
-
Identify a relevant workshop
-
Register and attend the workshop
-
Actively participate in exercises and discussions
Explore advanced statistical analysis techniques through online tutorials.
Show steps
Expand your knowledge and skills by exploring advanced statistical analysis techniques through online resources.
Show steps
-
Identify reputable websites or platforms offering tutorials on advanced statistical analysis.
-
Select tutorials that align with your interests and course objectives.
-
Follow the tutorials and practice the concepts and techniques presented.
Develop a Data Analysis Case Study
Show steps
Apply your statistical knowledge and Excel skills to a practical problem by creating a comprehensive data analysis case study that demonstrates your abilities.
Show steps
-
Define the research question
-
Gather and analyze data
-
Present your findings
Develop a data visualization project using Excel.
Show steps
Create a data visualization project that demonstrates your proficiency in using Excel to analyze and present data.
Show steps
-
Gather and prepare a dataset relevant to the course content.
-
Design and implement data visualizations using Excel.
-
Write a report that interprets the findings from your data visualization.
Organize course notes and materials for future reference.
Show steps
Organize your course notes, assignments, and resources for easy access and review during and after the course.
Show steps
Show steps
Show steps
- Create a system for organizing notes and materials.
- Regularly add to and update your organizational system.
- Review your organized materials periodically for reinforcement.
Review basic statistical formulas.
Show steps
Refresh your memory on fundamental statistical formulas before starting the course materials.
Show steps
Show steps
Show steps
- Revisit common measures of central tendency.
- Review probability distributions.
- Practice applying hypothesis testing.
Complete practice problems from introductory statistics books.
Show steps
Sharpen your statistical analysis skills by practicing with exercises from various textbooks.
Show steps
Show steps
Show steps
- Select textbooks with practice problems relevant to the course material.
- Work through practice problems regularly.
- Check your solutions against provided answers or consult with peers or instructors.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join or form a study group with classmates.
Show steps
Enhance your understanding and retention by collaborating with peers in a study group.
Show steps
Show steps
Show steps
- Find classmates who are interested in forming or joining a study group.
- Establish a regular meeting schedule and format.
- Take turns presenting concepts, leading discussions, and working on problems together.
Practice Data Analysis Techniques
Show steps
Put your analytical skills to the test by solving various data analysis exercises to solidify your understanding.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Identify a dataset
- Apply statistical techniques to analyze the data
- Interpret the results and draw conclusions
Participate in online statistical analysis simulations.
Show steps
Engage in interactive simulations to reinforce concepts and build confidence in applying statistical methods.
Show steps
Show steps
Show steps
- Identify online platforms or software that offer statistical simulations.
- Select simulations aligned with the course topics.
- Complete simulations multiple times to improve understanding.
Attend an Excel Data Analysis Workshop
Show steps
Gain hands-on experience and expert guidance by attending a workshop tailored to enhancing your Excel data analysis skills.
Browse courses on
Data Analysis Tools
Show steps
Show steps
Show steps
- Identify a relevant workshop
- Register and attend the workshop
- Actively participate in exercises and discussions
Explore advanced statistical analysis techniques through online tutorials.
Show steps
Expand your knowledge and skills by exploring advanced statistical analysis techniques through online resources.
Show steps
Show steps
Show steps
- Identify reputable websites or platforms offering tutorials on advanced statistical analysis.
- Select tutorials that align with your interests and course objectives.
- Follow the tutorials and practice the concepts and techniques presented.
Develop a Data Analysis Case Study
Show steps
Apply your statistical knowledge and Excel skills to a practical problem by creating a comprehensive data analysis case study that demonstrates your abilities.
Show steps
Show steps
Show steps
- Define the research question
- Gather and analyze data
- Present your findings
Develop a data visualization project using Excel.
Show steps
Create a data visualization project that demonstrates your proficiency in using Excel to analyze and present data.
Show steps
Show steps
Show steps
- Gather and prepare a dataset relevant to the course content.
- Design and implement data visualizations using Excel.
- Write a report that interprets the findings from your data visualization.
Career center
Learners who complete Statistical Analysis and Research using Excel will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts leverage statistical analysis and research to extract meaningful insights from data. This course provides a comprehensive foundation in statistical concepts and Excel skills, essential for success in this role. By mastering the techniques taught in this course, individuals can effectively analyze data, draw conclusions, and make data-driven decisions in a variety of industries.
Market Research Analyst
Market Research Analyst
Market Research Analysts employ statistical analysis to gather and interpret data about consumer behavior and market trends. This course provides a strong foundation in statistical methods and Excel techniques, equipping individuals with the skills to conduct market research surveys, analyze data, and prepare insightful reports.
Data Scientist
Data Scientist
Data Scientists utilize statistical analysis and research to build predictive models and solve complex data-related problems. This course provides a comprehensive introduction to statistical concepts and Excel skills, which serve as a foundation for further data science studies and job roles.
Business Analyst
Business Analyst
Business Analysts leverage statistical analysis and research to identify and solve business problems. This course provides a practical understanding of statistical methods and Excel techniques, enabling individuals to enhance their problem-solving abilities and contribute effectively to business decision-making.
Financial Analyst
Financial Analyst
Financial Analysts utilize statistical analysis and research to evaluate and forecast financial performance. This course provides a strong foundation in statistical methods and Excel skills, enabling individuals to analyze financial data, build financial models, and make informed investment decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts apply statistical analysis and research to optimize business processes and operations. This course provides a solid foundation in statistical techniques and Excel skills, enabling individuals to develop and implement analytical models that enhance operational efficiency and profitability.
Biostatistician
Biostatistician
Biostatisticians leverage statistical analysis and research to design and analyze medical studies. This course provides a fundamental understanding of statistical concepts and Excel skills, which serve as a cornerstone for further studies in biostatistics and a career in the healthcare industry.
Epidemiologist
Epidemiologist
Epidemiologists utilize statistical analysis and research to investigate and control the spread of diseases. This course provides a solid foundation in statistical methods and Excel skills, equipping individuals with the tools to analyze epidemiological data, identify risk factors, and develop strategies for disease prevention.
Actuary
Actuary
Actuaries utilize statistical analysis and research to assess and manage financial risks. This course provides a solid foundation in statistical concepts and Excel skills, which are essential for developing actuarial models and making informed risk-related decisions.
Quantitative Researcher
Quantitative Researcher
Quantitative Researchers leverage statistical analysis and research to analyze financial and economic data. This course provides a comprehensive introduction to statistical concepts and Excel skills, which serve as a foundation for a successful career in quantitative research.
Statistician
Statistician
Statisticians leverage statistical analysis and research to uncover patterns and insights from data. This course provides a comprehensive introduction to statistical concepts and Excel skills, which are fundamental for a career in statistics.
Data Engineer
Data Engineer
Data Engineers leverage statistical analysis and research to design and implement data pipelines and systems. This course provides a foundation in statistical concepts and Excel skills, which are valuable for understanding data structures and developing efficient data management solutions.
Software Engineer
Software Engineer
Software Engineers may utilize statistical analysis and research to develop software applications that leverage data analysis and statistical techniques. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for certain software engineering roles involving data analysis.
Database Administrator
Database Administrator
Database Administrators may utilize statistical analysis and research to optimize database performance and data integrity. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for understanding data structures and developing efficient database management strategies.
Project Manager
Project Manager
Project Managers may utilize statistical analysis and research to track project progress, identify risks, and allocate resources. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for understanding project data and making informed project management decisions.
For more career information including salaries, visit:
OpenCourser.com/course/g5ok66/statistical
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Statistical Analysis and Research using Excel.
Great resource for those who want to learn how to use Excel for regression analysis. It covers the entire process of modeling, from hypothesis development to effect interpretation.
Is perfect for absolute beginners in data analysis using Excel. It provides a comprehensive overview of the basic concepts and techniques of data analysis.
Great resource for those who want to learn more about the practical applications of statistics in business. It covers a wide range of topics, from data visualization to forecasting.
Great resource for those who want to learn more about the fundamental concepts of statistics. It covers a wide range of topics, from probability to hypothesis testing.
Great resource for those who want to learn more about Bayesian data analysis. It covers a wide range of topics, from the basics of Bayesian inference to advanced sampling techniques.
Great resource for those who want to learn more about machine learning using R. It covers a wide range of topics, from supervised learning to unsupervised learning.
Great resource for those who want to learn more about deep learning using Python. It covers a wide range of topics, from the basics of deep learning to advanced architectures.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g5ok66/statistical
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Time
12 hours
Via
Udemy
Instructor
EdSolver Learning
Good to know
Builds a strong foundation for beginners in statistical analysis and research
Teaches skills, knowledge, and tools that are highly relevant to industry
Uses Microsoft Excel software, which is standard in industry
Uses more industry relevant examples and situations
Can be considered as a foundation course for higher education in research and analytics
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